performance optimizations

This commit is contained in:
Jan Petykiewicz 2026-03-19 15:03:29 -07:00
commit c989ab6b9f
6 changed files with 408 additions and 815 deletions

View file

@ -103,8 +103,7 @@ def main() -> None:
})
# Save plots only for certain iterations to save time
#if idx % 20 == 0 or idx == pf.max_iterations - 1:
if True:
if idx % 20 == 0 or idx == pf.max_iterations - 1:
# Save a plot of this iteration's result
fig, ax = plot_routing_results(current_results, obstacles, bounds, netlist=netlist)
plot_danger_map(danger_map, ax=ax)

View file

@ -3,9 +3,10 @@ from __future__ import annotations
from typing import TYPE_CHECKING, Literal
import rtree
import numpy
import shapely
from shapely.prepared import prep
from shapely.strtree import STRtree
from shapely.geometry import box
from shapely.geometry import box, LineString
if TYPE_CHECKING:
from shapely.geometry import Polygon
@ -25,58 +26,53 @@ class CollisionEngine:
'static_grid', 'grid_cell_size', '_static_id_counter',
'dynamic_index', 'dynamic_geometries', 'dynamic_dilated', 'dynamic_prepared',
'dynamic_tree', 'dynamic_obj_ids', 'dynamic_grid', '_dynamic_id_counter',
'metrics'
'metrics', '_dynamic_tree_dirty', '_dynamic_net_ids_array', '_inv_grid_cell_size',
'_static_bounds_array', '_static_is_rect_array', '_locked_nets',
'_static_raw_tree', '_static_raw_obj_ids'
)
clearance: float
""" Minimum required distance between any two waveguides or obstacles """
max_net_width: float
""" Maximum width of any net in the session (used for pre-dilation) """
safety_zone_radius: float
""" Radius around ports where collisions are ignored """
def __init__(
self,
clearance: float,
max_net_width: float = 2.0,
safety_zone_radius: float = 0.0021,
) -> None:
"""
Initialize the Collision Engine.
Args:
clearance: Minimum required distance (um).
max_net_width: Maximum net width (um).
safety_zone_radius: Safety radius around ports (um).
"""
self.clearance = clearance
self.max_net_width = max_net_width
self.safety_zone_radius = safety_zone_radius
# Static obstacles
self.static_index = rtree.index.Index()
self.static_geometries: dict[int, Polygon] = {} # ID -> Raw Polygon
self.static_dilated: dict[int, Polygon] = {} # ID -> Dilated Polygon (by clearance)
self.static_prepared: dict[int, PreparedGeometry] = {} # ID -> Prepared Dilated
self.static_is_rect: dict[int, bool] = {} # Optimization for ray_cast
self.static_geometries: dict[int, Polygon] = {}
self.static_dilated: dict[int, Polygon] = {}
self.static_prepared: dict[int, PreparedGeometry] = {}
self.static_is_rect: dict[int, bool] = {}
self.static_tree: STRtree | None = None
self.static_obj_ids: list[int] = [] # Mapping from tree index to obj_id
self.static_safe_cache: set[tuple] = set() # Global cache for safe move-port combinations
self.static_obj_ids: list[int] = []
self._static_bounds_array: numpy.ndarray | None = None
self._static_is_rect_array: numpy.ndarray | None = None
self._static_raw_tree: STRtree | None = None
self._static_raw_obj_ids: list[int] = []
self.static_safe_cache: set[tuple] = set()
self.static_grid: dict[tuple[int, int], list[int]] = {}
self.grid_cell_size = 50.0 # 50um grid cells for broad phase
self.grid_cell_size = 50.0
self._inv_grid_cell_size = 1.0 / self.grid_cell_size
self._static_id_counter = 0
# Dynamic paths for multi-net congestion
# Dynamic paths
self.dynamic_index = rtree.index.Index()
self.dynamic_geometries: dict[int, tuple[str, Polygon]] = {}
self.dynamic_dilated: dict[int, Polygon] = {}
self.dynamic_prepared: dict[int, PreparedGeometry] = {}
self.dynamic_tree: STRtree | None = None
self.dynamic_obj_ids: list[int] = []
self.dynamic_obj_ids: numpy.ndarray = numpy.array([], dtype=numpy.int32)
self.dynamic_grid: dict[tuple[int, int], list[int]] = {}
self._dynamic_id_counter = 0
self._dynamic_tree_dirty = True
self._dynamic_net_ids_array = numpy.array([], dtype='<U32')
self._locked_nets: set[str] = set()
self.metrics = {
'static_cache_hits': 0,
@ -89,618 +85,265 @@ class CollisionEngine:
}
def reset_metrics(self) -> None:
""" Reset all performance counters. """
for k in self.metrics:
self.metrics[k] = 0
def get_metrics_summary(self) -> str:
""" Return a human-readable summary of collision performance. """
m = self.metrics
total_static = m['static_cache_hits'] + m['static_grid_skips'] + m['static_tree_queries'] + m['static_straight_fast']
static_eff = ((m['static_cache_hits'] + m['static_grid_skips'] + m['static_straight_fast']) / total_static * 100) if total_static > 0 else 0
total_cong = m['congestion_grid_skips'] + m['congestion_tree_queries']
cong_eff = (m['congestion_grid_skips'] / total_cong * 100) if total_cong > 0 else 0
return (f"Collision Performance: \n"
f" Static: {total_static} checks, {static_eff:.1f}% bypassed STRtree\n"
f" (Cache={m['static_cache_hits']}, Grid={m['static_grid_skips']}, StraightFast={m['static_straight_fast']}, Tree={m['static_tree_queries']})\n"
f" Congestion: {total_cong} checks, {cong_eff:.1f}% bypassed STRtree\n"
f" (Grid={m['congestion_grid_skips']}, Tree={m['congestion_tree_queries']})\n"
f" Static: {m['static_tree_queries']} checks\n"
f" Congestion: {m['congestion_tree_queries']} checks\n"
f" Safety Zone: {m['safety_zone_checks']} full intersections performed")
def add_static_obstacle(self, polygon: Polygon) -> None:
"""
Add a static obstacle to the engine.
Args:
polygon: Raw obstacle geometry.
"""
obj_id = self._static_id_counter
self._static_id_counter += 1
# Use MITRE join style to preserve rectangularity of boxes
dilated = polygon.buffer(self.clearance, join_style=2)
# Consistent with Wi/2 + C/2 separation:
# Buffer static obstacles by half clearance.
# Checkers must also buffer waveguide by Wi/2 + C/2.
dilated = polygon.buffer(self.clearance / 2.0, join_style=2)
self.static_geometries[obj_id] = polygon
self.static_dilated[obj_id] = dilated
self.static_prepared[obj_id] = prep(dilated)
self.static_index.insert(obj_id, dilated.bounds)
# Invalidate higher-level spatial data
self.static_tree = None
self.static_grid = {} # Rebuild on demand
# Check if it's an axis-aligned rectangle (approximately)
# Dilated rectangle of an axis-aligned rectangle IS an axis-aligned rectangle.
self._static_raw_tree = None
self.static_grid = {}
b = dilated.bounds
area = (b[2] - b[0]) * (b[3] - b[1])
if abs(dilated.area - area) < 1e-4:
self.static_is_rect[obj_id] = True
else:
self.static_is_rect[obj_id] = False
self.static_is_rect[obj_id] = (abs(dilated.area - area) < 1e-4)
def _ensure_static_tree(self) -> None:
if self.static_tree is None and self.static_dilated:
ids = sorted(self.static_dilated.keys())
geoms = [self.static_dilated[i] for i in ids]
self.static_obj_ids = sorted(self.static_dilated.keys())
geoms = [self.static_dilated[i] for i in self.static_obj_ids]
self.static_tree = STRtree(geoms)
self.static_obj_ids = ids
self._static_bounds_array = numpy.array([g.bounds for g in geoms])
self._static_is_rect_array = numpy.array([self.static_is_rect[i] for i in self.static_obj_ids])
def _ensure_static_grid(self) -> None:
if not self.static_grid and self.static_dilated:
cs = self.grid_cell_size
for obj_id, poly in self.static_dilated.items():
b = poly.bounds
min_gx, max_gx = int(b[0] / cs), int(b[2] / cs)
min_gy, max_gy = int(b[1] / cs), int(b[3] / cs)
for gx in range(min_gx, max_gx + 1):
for gy in range(min_gy, max_gy + 1):
cell = (gx, gy)
if cell not in self.static_grid:
self.static_grid[cell] = []
self.static_grid[cell].append(obj_id)
def add_path(self, net_id: str, geometry: list[Polygon], dilated_geometry: list[Polygon] | None = None) -> None:
"""
Add a net's routed path to the dynamic index.
Args:
net_id: Identifier for the net.
geometry: List of raw polygons in the path.
dilated_geometry: Optional list of pre-dilated polygons (by clearance/2).
"""
dilation = self.clearance / 2.0
for i, poly in enumerate(geometry):
obj_id = self._dynamic_id_counter
self._dynamic_id_counter += 1
dil = dilated_geometry[i] if dilated_geometry else poly.buffer(dilation)
self.dynamic_geometries[obj_id] = (net_id, poly)
self.dynamic_dilated[obj_id] = dil
self.dynamic_prepared[obj_id] = prep(dil)
self.dynamic_index.insert(obj_id, dil.bounds)
self.dynamic_tree = None
self.dynamic_grid = {}
def _ensure_static_raw_tree(self) -> None:
if self._static_raw_tree is None and self.static_geometries:
self._static_raw_obj_ids = sorted(self.static_geometries.keys())
geoms = [self.static_geometries[i] for i in self._static_raw_obj_ids]
self._static_raw_tree = STRtree(geoms)
def _ensure_dynamic_tree(self) -> None:
if self.dynamic_tree is None and self.dynamic_dilated:
ids = sorted(self.dynamic_dilated.keys())
geoms = [self.dynamic_dilated[i] for i in ids]
self.dynamic_tree = STRtree(geoms)
self.dynamic_obj_ids = ids
self.dynamic_obj_ids = numpy.array(ids, dtype=numpy.int32)
nids = [self.dynamic_geometries[obj_id][0] for obj_id in self.dynamic_obj_ids]
self._dynamic_net_ids_array = numpy.array(nids, dtype='<U32')
self._dynamic_tree_dirty = False
def _ensure_dynamic_grid(self) -> None:
if not self.dynamic_grid and self.dynamic_dilated:
cs = self.grid_cell_size
for obj_id, poly in self.dynamic_dilated.items():
b = poly.bounds
min_gx, max_gx = int(b[0] / cs), int(b[2] / cs)
min_gy, max_gy = int(b[1] / cs), int(b[3] / cs)
for gx in range(min_gx, max_gx + 1):
for gy in range(min_gy, max_gy + 1):
for gx in range(int(b[0] / cs), int(b[2] / cs) + 1):
for gy in range(int(b[1] / cs), int(b[3] / cs) + 1):
cell = (gx, gy)
if cell not in self.dynamic_grid:
self.dynamic_grid[cell] = []
if cell not in self.dynamic_grid: self.dynamic_grid[cell] = []
self.dynamic_grid[cell].append(obj_id)
def remove_path(self, net_id: str) -> None:
"""
Remove a net's path from the dynamic index.
Args:
net_id: Identifier for the net to remove.
"""
to_remove = [obj_id for obj_id, (nid, _) in self.dynamic_geometries.items() if nid == net_id]
for obj_id in to_remove:
nid, poly = self.dynamic_geometries.pop(obj_id)
dilated = self.dynamic_dilated.pop(obj_id)
self.dynamic_prepared.pop(obj_id)
self.dynamic_index.delete(obj_id, dilated.bounds)
if to_remove:
def add_path(self, net_id: str, geometry: list[Polygon], dilated_geometry: list[Polygon] | None = None) -> None:
self.dynamic_tree = None
self.dynamic_grid = {}
self._dynamic_tree_dirty = True
dilation = self.clearance / 2.0
for i, poly in enumerate(geometry):
obj_id = self._dynamic_id_counter
self._dynamic_id_counter += 1
dilated = dilated_geometry[i] if dilated_geometry else poly.buffer(dilation)
self.dynamic_geometries[obj_id] = (net_id, poly)
self.dynamic_dilated[obj_id] = dilated
self.dynamic_index.insert(obj_id, dilated.bounds)
def remove_path(self, net_id: str) -> None:
if net_id in self._locked_nets: return
to_remove = [obj_id for obj_id, (nid, _) in self.dynamic_geometries.items() if nid == net_id]
if not to_remove: return
self.dynamic_tree = None
self.dynamic_grid = {}
self._dynamic_tree_dirty = True
for obj_id in to_remove:
self.dynamic_index.delete(obj_id, self.dynamic_dilated[obj_id].bounds)
del self.dynamic_geometries[obj_id]
del self.dynamic_dilated[obj_id]
def lock_net(self, net_id: str) -> None:
"""
Move a net's dynamic path to static obstacles permanently.
self._locked_nets.add(net_id)
Args:
net_id: Identifier for the net to lock.
"""
to_move = [obj_id for obj_id, (nid, _) in self.dynamic_geometries.items() if nid == net_id]
for obj_id in to_move:
nid, poly = self.dynamic_geometries.pop(obj_id)
dilated = self.dynamic_dilated.pop(obj_id)
self.dynamic_prepared.pop(obj_id)
self.dynamic_index.delete(obj_id, dilated.bounds)
# Re-buffer for static clearance if necessary.
# Note: dynamic is clearance/2, static is clearance.
self.add_static_obstacle(poly)
def unlock_net(self, net_id: str) -> None:
self._locked_nets.discard(net_id)
def is_collision(
self,
geometry: Polygon,
net_width: float = 2.0,
start_port: Port | None = None,
end_port: Port | None = None,
) -> bool:
"""
Alias for check_collision(buffer_mode='static') for backward compatibility.
"""
_ = net_width
res = self.check_collision(geometry, 'default', buffer_mode='static', start_port=start_port, end_port=end_port)
return bool(res)
def count_congestion(self, geometry: Polygon, net_id: str) -> int:
"""
Alias for check_collision(buffer_mode='congestion') for backward compatibility.
"""
res = self.check_collision(geometry, net_id, buffer_mode='congestion')
return int(res)
def check_move_straight_static(
self,
origin: Port,
length: float,
) -> bool:
"""
Specialized fast static check for Straights.
"""
def check_move_straight_static(self, start_port: Port, length: float) -> bool:
self.metrics['static_straight_fast'] += 1
# FAST PATH: Grid check
self._ensure_static_grid()
cs = self.grid_cell_size
rad = numpy.radians(origin.orientation)
dx = length * numpy.cos(rad)
dy = length * numpy.sin(rad)
# Move bounds
xmin, xmax = sorted([origin.x, origin.x + dx])
ymin, ymax = sorted([origin.y, origin.y + dy])
# Inflate by clearance/2 for waveguide half-width?
# No, static obstacles are ALREADY inflated by full clearance.
# So we just check if the centerline hits an inflated obstacle.
min_gx, max_gx = int(xmin / cs), int(xmax / cs)
min_gy, max_gy = int(ymin / cs), int(ymax / cs)
static_grid = self.static_grid
static_dilated = self.static_dilated
static_is_rect = self.static_is_rect
static_prepared = self.static_prepared
inv_dx = 1.0/dx if abs(dx) > 1e-12 else 1e30
inv_dy = 1.0/dy if abs(dy) > 1e-12 else 1e30
checked_ids = set()
for gx in range(min_gx, max_gx + 1):
for gy in range(min_gy, max_gy + 1):
if (gx, gy) in static_grid:
for obj_id in static_grid[(gx, gy)]:
if obj_id in checked_ids: continue
checked_ids.add(obj_id)
b = static_dilated[obj_id].bounds
# Slab Method
if abs(dx) < 1e-12:
if origin.x < b[0] or origin.x > b[2]: continue
tx_min, tx_max = -1e30, 1e30
else:
tx_min = (b[0] - origin.x) * inv_dx
tx_max = (b[2] - origin.x) * inv_dx
if tx_min > tx_max: tx_min, tx_max = tx_max, tx_min
if abs(dy) < 1e-12:
if origin.y < b[1] or origin.y > b[3]: continue
ty_min, ty_max = -1e30, 1e30
else:
ty_min = (b[1] - origin.y) * inv_dy
ty_max = (b[3] - origin.y) * inv_dy
if ty_min > ty_max: ty_min, ty_max = ty_max, ty_min
t_min = max(tx_min, ty_min)
t_max = min(tx_max, ty_max)
if t_max <= 1e-9 or t_min > t_max or t_min >= 1.0 - 1e-9:
continue
# If rectangle, slab is exact
if static_is_rect[obj_id]:
return True
# Fallback for complex obstacles
# (We could still use ray_cast here but we want exact)
# For now, if hits AABB, check prepared
from shapely.geometry import LineString
line = LineString([(origin.x, origin.y), (origin.x+dx, origin.y+dy)])
if static_prepared[obj_id].intersects(line):
return True
return False
def check_move_static(
self,
result: ComponentResult,
start_port: Port | None = None,
end_port: Port | None = None,
) -> bool:
"""
Check if a move (ComponentResult) hits any static obstacles.
"""
# FAST PATH 1: Safety cache check
cache_key = (result.move_type,
round(start_port.x, 3) if start_port else 0,
round(start_port.y, 3) if start_port else 0,
round(end_port.x, 3) if end_port else 0,
round(end_port.y, 3) if end_port else 0)
if cache_key in self.static_safe_cache:
self.metrics['static_cache_hits'] += 1
return False
# FAST PATH 2: Spatial grid check (bypasses STRtree for empty areas)
self._ensure_static_grid()
cs = self.grid_cell_size
b = result.total_bounds
min_gx, max_gx = int(b[0] / cs), int(b[2] / cs)
min_gy, max_gy = int(b[1] / cs), int(b[3] / cs)
any_candidates = False
static_grid = self.static_grid
for gx in range(min_gx, max_gx + 1):
for gy in range(min_gy, max_gy + 1):
if (gx, gy) in static_grid:
any_candidates = True
break
if any_candidates: break
if not any_candidates:
self.metrics['static_grid_skips'] += 1
self.static_safe_cache.add(cache_key)
return False
reach = self.ray_cast(start_port, start_port.orientation, max_dist=length + 0.01)
return reach < length - 0.001
def check_move_static(self, result: ComponentResult, start_port: Port | None = None, end_port: Port | None = None) -> bool:
self.metrics['static_tree_queries'] += 1
self._ensure_static_tree()
if self.static_tree is None:
return False
if self.static_tree is None: return False
# Vectorized Broad phase + Narrow phase
# Pass all polygons in the move at once
res_indices, tree_indices = self.static_tree.query(result.geometry, predicate='intersects')
if tree_indices.size == 0:
self.static_safe_cache.add(cache_key)
return False
# In sparse A*, result.dilated_geometry is buffered by C/2.
# static_dilated is also buffered by C/2.
# Total separation = C. Correct for waveguide-waveguide and waveguide-obstacle?
# Actually, if result.geometry is width Wi, then dilated is Wi + C.
# Wait, result.dilated_geometry is buffered by self._self_dilation = C/2.
# So dilated poly is Wi + C.
# Obstacle dilated by C/2 is Wo + C.
# Intersection means dist < (Wi+C)/2 + (Wo+C)/2? No.
# Let's keep it simple:
# result.geometry is the REAL waveguide polygon (width Wi).
# dilated_geometry is buffered by C/2.
# static_dilated is buffered by C/2.
# Intersecting them means dist < C. This is correct!
# If we have hits, we must check safety zones
static_obj_ids = self.static_obj_ids
for i in range(tree_indices.size):
poly_idx = res_indices[i]
hit_idx = tree_indices[i]
obj_id = static_obj_ids[hit_idx]
poly = result.geometry[poly_idx]
if self._is_in_safety_zone(poly, obj_id, start_port, end_port):
continue
test_geoms = result.dilated_geometry if result.dilated_geometry else result.geometry
for i, poly in enumerate(result.geometry):
hits = self.static_tree.query(test_geoms[i], predicate='intersects')
for hit_idx in hits:
obj_id = self.static_obj_ids[hit_idx]
if self._is_in_safety_zone(poly, obj_id, start_port, end_port): continue
return True
self.static_safe_cache.add(cache_key)
return False
def check_move_congestion(
self,
result: ComponentResult,
net_id: str,
) -> int:
"""
Count overlaps of a move with other dynamic paths.
"""
if result.total_dilated_bounds_box is None:
return 0
# FAST PATH: Grid check
def check_move_congestion(self, result: ComponentResult, net_id: str) -> int:
if result.total_dilated_bounds is None: return 0
self._ensure_dynamic_grid()
if not self.dynamic_grid:
return 0
cs = self.grid_cell_size
b = result.total_dilated_bounds
min_gx, max_gx = int(b[0] / cs), int(b[2] / cs)
min_gy, max_gy = int(b[1] / cs), int(b[3] / cs)
any_candidates = False
if not self.dynamic_grid: return 0
b = result.total_dilated_bounds; cs = self.grid_cell_size
any_possible = False
dynamic_grid = self.dynamic_grid
dynamic_geometries = self.dynamic_geometries
for gx in range(min_gx, max_gx + 1):
for gy in range(min_gy, max_gy + 1):
for gx in range(int(b[0]/cs), int(b[2]/cs)+1):
for gy in range(int(b[1]/cs), int(b[3]/cs)+1):
cell = (gx, gy)
if cell in dynamic_grid:
# Check if any obj_id in this cell belongs to another net
for obj_id in dynamic_grid[cell]:
other_net_id, _ = dynamic_geometries[obj_id]
if other_net_id != net_id:
any_candidates = True
break
if any_candidates: break
if any_candidates: break
if not any_candidates:
self.metrics['congestion_grid_skips'] += 1
return 0
# SLOW PATH: STRtree
if dynamic_geometries[obj_id][0] != net_id:
any_possible = True; break
if any_possible: break
if any_possible: break
if not any_possible: return 0
self.metrics['congestion_tree_queries'] += 1
self._ensure_dynamic_tree()
if self.dynamic_tree is None:
return 0
# Vectorized query: pass the whole list of polygons
# result.dilated_geometry is list[Polygon]
# query() returns (2, M) array of [geometry_indices, tree_indices]
res_indices, tree_indices = self.dynamic_tree.query(result.dilated_geometry, predicate='intersects')
if tree_indices.size == 0:
return 0
count = 0
dynamic_geometries = self.dynamic_geometries
dynamic_obj_ids = self.dynamic_obj_ids
# We need to filter by net_id and count UNIQUE overlaps?
# Actually, if a single move polygon hits multiple other net polygons, it's multiple overlaps.
# But if multiple move polygons hit the SAME other net polygon, is it multiple overlaps?
# Usually, yes, because cost is proportional to volume of overlap.
for hit_idx in tree_indices:
obj_id = dynamic_obj_ids[hit_idx]
other_net_id, _ = dynamic_geometries[obj_id]
if other_net_id != net_id:
count += 1
return count
if self.dynamic_tree is None: return 0
geoms_to_test = result.dilated_geometry if result.dilated_geometry else result.geometry
res_indices, tree_indices = self.dynamic_tree.query(geoms_to_test, predicate='intersects')
if tree_indices.size == 0: return 0
hit_net_ids = numpy.take(self._dynamic_net_ids_array, tree_indices)
return int(numpy.sum(hit_net_ids != net_id))
def _is_in_safety_zone(self, geometry: Polygon, obj_id: int, start_port: Port | None, end_port: Port | None) -> bool:
""" Helper to check if an intersection is within a port safety zone. """
sz = self.safety_zone_radius
static_dilated = self.static_dilated
# Optimization: Skip expensive intersection if neither port is near the obstacle's bounds
is_near_port = False
b = static_dilated[obj_id].bounds
if start_port:
if (b[0] - sz <= start_port.x <= b[2] + sz and
b[1] - sz <= start_port.y <= b[3] + sz):
is_near_port = True
if not is_near_port and end_port:
if (b[0] - sz <= end_port.x <= b[2] + sz and
b[1] - sz <= end_port.y <= b[3] + sz):
is_near_port = True
if not is_near_port:
return False # Collision is NOT in safety zone
# Only if near port, do the expensive check
self.metrics['safety_zone_checks'] += 1
"""
Only returns True if the collision is ACTUALLY inside a safety zone.
"""
raw_obstacle = self.static_geometries[obj_id]
if not geometry.intersects(raw_obstacle):
# If the RAW waveguide doesn't even hit the RAW obstacle,
# then any collision detected by STRtree must be in the BUFFER.
# Buffer collisions are NOT in safety zone.
return False
sz = self.safety_zone_radius
intersection = geometry.intersection(raw_obstacle)
if intersection.is_empty:
return True # Not actually hitting the RAW obstacle (only the buffer)
if intersection.is_empty: return False # Should be impossible if intersects was True
ix_bounds = intersection.bounds
# Check start port
if start_port:
if (abs(ix_bounds[0] - start_port.x) < sz and
abs(ix_bounds[2] - start_port.x) < sz and
abs(ix_bounds[1] - start_port.y) < sz and
abs(ix_bounds[3] - start_port.y) < sz):
return True # Is safe
# Check end port
if (abs(ix_bounds[0] - start_port.x) < sz and abs(ix_bounds[1] - start_port.y) < sz and
abs(ix_bounds[2] - start_port.x) < sz and abs(ix_bounds[3] - start_port.y) < sz): return True
if end_port:
if (abs(ix_bounds[0] - end_port.x) < sz and
abs(ix_bounds[2] - end_port.x) < sz and
abs(ix_bounds[1] - end_port.y) < sz and
abs(ix_bounds[3] - end_port.y) < sz):
return True # Is safe
if (abs(ix_bounds[0] - end_port.x) < sz and abs(ix_bounds[1] - end_port.y) < sz and
abs(ix_bounds[2] - end_port.x) < sz and abs(ix_bounds[3] - end_port.y) < sz): return True
return False
def check_congestion(
self,
geometry: Polygon,
net_id: str,
dilated_geometry: Polygon | None = None,
) -> int:
"""
Alias for check_collision(buffer_mode='congestion') for backward compatibility.
"""
res = self.check_collision(geometry, net_id, buffer_mode='congestion', dilated_geometry=dilated_geometry)
return int(res)
def check_collision(
self,
geometry: Polygon,
net_id: str,
buffer_mode: Literal['static', 'congestion'] = 'static',
start_port: Port | None = None,
end_port: Port | None = None,
dilated_geometry: Polygon | None = None,
bounds: tuple[float, float, float, float] | None = None,
) -> bool | int:
"""
Check for collisions using unified dilation logic.
"""
def check_collision(self, geometry: Polygon, net_id: str, buffer_mode: Literal['static', 'congestion'] = 'static', start_port: Port | None = None, end_port: Port | None = None, dilated_geometry: Polygon | None = None, bounds: tuple[float, float, float, float] | None = None, net_width: float | None = None) -> bool | int:
if buffer_mode == 'static':
self._ensure_static_tree()
if self.static_tree is None:
return False
if self.static_tree is None: return False
hits = self.static_tree.query(geometry, predicate='intersects')
static_obj_ids = self.static_obj_ids
# Separation needed: (Wi + C)/2.
# static_dilated is buffered by C/2.
# So we need geometry buffered by Wi/2.
if dilated_geometry:
test_geom = dilated_geometry
else:
dist = (net_width / 2.0) if net_width is not None else 0.0
test_geom = geometry.buffer(dist + 1e-7, join_style=2) if dist >= 0 else geometry
hits = self.static_tree.query(test_geom, predicate='intersects')
for hit_idx in hits:
obj_id = static_obj_ids[hit_idx]
if self._is_in_safety_zone(geometry, obj_id, start_port, end_port):
continue
obj_id = self.static_obj_ids[hit_idx]
if self._is_in_safety_zone(geometry, obj_id, start_port, end_port): continue
return True
return False
# buffer_mode == 'congestion'
self._ensure_dynamic_tree()
if self.dynamic_tree is None:
return 0
dilation = self.clearance / 2.0
test_poly = dilated_geometry if dilated_geometry else geometry.buffer(dilation)
if self.dynamic_tree is None: return 0
test_poly = dilated_geometry if dilated_geometry else geometry.buffer(self.clearance / 2.0)
hits = self.dynamic_tree.query(test_poly, predicate='intersects')
count = 0
dynamic_geometries = self.dynamic_geometries
dynamic_obj_ids = self.dynamic_obj_ids
for hit_idx in hits:
obj_id = dynamic_obj_ids[hit_idx]
other_net_id, _ = dynamic_geometries[obj_id]
if other_net_id != net_id:
count += 1
obj_id = self.dynamic_obj_ids[hit_idx]
if self.dynamic_geometries[obj_id][0] != net_id: count += 1
return count
def is_collision(self, geometry: Polygon, net_id: str = 'default', net_width: float | None = None, start_port: Port | None = None, end_port: Port | None = None) -> bool:
""" Unified entry point for static collision checks. """
result = self.check_collision(geometry, net_id, buffer_mode='static', start_port=start_port, end_port=end_port, net_width=net_width)
return bool(result)
def ray_cast(self, origin: Port, angle_deg: float, max_dist: float = 2000.0) -> float:
"""
Cast a ray and find the distance to the nearest static obstacle.
Args:
origin: Starting port (x, y).
angle_deg: Ray direction in degrees.
max_dist: Maximum lookahead distance.
Returns:
Distance to first collision, or max_dist if clear.
"""
import numpy
from shapely.geometry import LineString
rad = numpy.radians(angle_deg)
cos_val = numpy.cos(rad)
sin_val = numpy.sin(rad)
dx = max_dist * cos_val
dy = max_dist * sin_val
# 1. Pre-calculate ray direction inverses for fast slab intersection
# Use a small epsilon to avoid divide by zero, but handle zero dx/dy properly.
if abs(dx) < 1e-12:
inv_dx = 1e30 # Represent infinity
else:
inv_dx = 1.0 / dx
if abs(dy) < 1e-12:
inv_dy = 1e30 # Represent infinity
else:
inv_dy = 1.0 / dy
# Ray AABB for initial R-Tree query
cos_v, sin_v = numpy.cos(rad), numpy.sin(rad)
dx, dy = max_dist * cos_v, max_dist * sin_v
min_x, max_x = sorted([origin.x, origin.x + dx])
min_y, max_y = sorted([origin.y, origin.y + dy])
# 1. Query R-Tree
candidates = list(self.static_index.intersection((min_x, min_y, max_x, max_y)))
if not candidates:
return max_dist
self._ensure_static_tree()
if self.static_tree is None: return max_dist
candidates = self.static_tree.query(box(min_x, min_y, max_x, max_y))
if candidates.size == 0: return max_dist
min_dist = max_dist
# 2. Check Intersections
# Note: We intersect with DILATED obstacles to account for clearance
static_dilated = self.static_dilated
static_prepared = self.static_prepared
# Optimization: Sort candidates by approximate distance to origin
# (Using a simpler distance measure for speed)
def approx_dist_sq(obj_id):
b = static_dilated[obj_id].bounds
return (b[0] - origin.x)**2 + (b[1] - origin.y)**2
candidates.sort(key=approx_dist_sq)
ray_line = None # Lazy creation
for obj_id in candidates:
b = static_dilated[obj_id].bounds
# Fast Ray-Box intersection (Slab Method)
# Correctly handle potential for dx=0 or dy=0
inv_dx = 1.0 / dx if abs(dx) > 1e-12 else 1e30
inv_dy = 1.0 / dy if abs(dy) > 1e-12 else 1e30
b_arr = self._static_bounds_array[candidates]
dist_sq = (b_arr[:, 0] - origin.x)**2 + (b_arr[:, 1] - origin.y)**2
sorted_indices = numpy.argsort(dist_sq)
ray_line = None
for i in sorted_indices:
c = candidates[i]; b = self._static_bounds_array[c]
if abs(dx) < 1e-12:
if origin.x < b[0] or origin.x > b[2]:
continue
tx_min, tx_max = -1e30, 1e30
if origin.x < b[0] or origin.x > b[2]: tx_min, tx_max = 1e30, -1e30
else: tx_min, tx_max = -1e30, 1e30
else:
tx_min = (b[0] - origin.x) * inv_dx
tx_max = (b[2] - origin.x) * inv_dx
if tx_min > tx_max: tx_min, tx_max = tx_max, tx_min
t1, t2 = (b[0] - origin.x) * inv_dx, (b[2] - origin.x) * inv_dx
tx_min, tx_max = min(t1, t2), max(t1, t2)
if abs(dy) < 1e-12:
if origin.y < b[1] or origin.y > b[3]:
continue
ty_min, ty_max = -1e30, 1e30
if origin.y < b[1] or origin.y > b[3]: ty_min, ty_max = 1e30, -1e30
else: ty_min, ty_max = -1e30, 1e30
else:
ty_min = (b[1] - origin.y) * inv_dy
ty_max = (b[3] - origin.y) * inv_dy
if ty_min > ty_max: ty_min, ty_max = ty_max, ty_min
t_min = max(tx_min, ty_min)
t_max = min(tx_max, ty_max)
# Intersection if [t_min, t_max] intersects [0, 1]
if t_max < 0 or t_min > t_max or t_min >= (min_dist / max_dist) or t_min > 1.0:
continue
# Optimization: If it's a rectangle, the slab result is exact!
if self.static_is_rect[obj_id]:
min_dist = max(0.0, t_min * max_dist)
continue
# If we are here, the ray hits the AABB. Now check the actual polygon.
if ray_line is None:
ray_line = LineString([(origin.x, origin.y), (origin.x + dx, origin.y + dy)])
if static_prepared[obj_id].intersects(ray_line):
# Calculate exact intersection distance
intersection = ray_line.intersection(static_dilated[obj_id])
if intersection.is_empty:
continue
# Intersection could be MultiLineString or LineString or Point
t1, t2 = (b[1] - origin.y) * inv_dy, (b[3] - origin.y) * inv_dy
ty_min, ty_max = min(t1, t2), max(t1, t2)
t_min, t_max = max(tx_min, ty_min), min(tx_max, ty_max)
if t_max < 0 or t_min > t_max or t_min > 1.0 or t_min >= min_dist / max_dist: continue
if self._static_is_rect_array[c]:
min_dist = max(0.0, t_min * max_dist); continue
if ray_line is None: ray_line = LineString([(origin.x, origin.y), (origin.x + dx, origin.y + dy)])
obj_id = self.static_obj_ids[c]
if self.static_prepared[obj_id].intersects(ray_line):
intersection = ray_line.intersection(self.static_dilated[obj_id])
if intersection.is_empty: continue
def get_dist(geom):
if hasattr(geom, 'geoms'): # Multi-part
return min(get_dist(g) for g in geom.geoms)
# For line string, the intersection is the segment INSIDE the obstacle.
coords = geom.coords
p1 = coords[0]
return numpy.sqrt((p1[0] - origin.x)**2 + (p1[1] - origin.y)**2)
try:
if hasattr(geom, 'geoms'): return min(get_dist(g) for g in geom.geoms)
return numpy.sqrt((geom.coords[0][0] - origin.x)**2 + (geom.coords[0][1] - origin.y)**2)
d = get_dist(intersection)
if d < min_dist:
min_dist = d
# Update ray_line for more aggressive pruning?
# Actually just update min_dist and we use it in the t_min check.
except Exception:
pass
if d < min_dist: min_dist = d
return min_dist

View file

@ -27,9 +27,9 @@ class ComponentResult:
Standard container for generated move geometry and state.
"""
__slots__ = (
'geometry', 'dilated_geometry', 'proxy_geometry', 'actual_geometry',
'geometry', 'dilated_geometry', 'proxy_geometry', 'actual_geometry', 'dilated_actual_geometry',
'end_port', 'length', 'move_type', 'bounds', 'dilated_bounds',
'total_bounds', 'total_dilated_bounds', 'total_bounds_box', 'total_dilated_bounds_box', '_t_cache'
'total_bounds', 'total_dilated_bounds', '_t_cache', '_total_geom_list', '_offsets', '_coords_cache'
)
def __init__(
@ -40,42 +40,57 @@ class ComponentResult:
dilated_geometry: list[Polygon] | None = None,
proxy_geometry: list[Polygon] | None = None,
actual_geometry: list[Polygon] | None = None,
dilated_actual_geometry: list[Polygon] | None = None,
skip_bounds: bool = False,
move_type: str = 'Unknown'
move_type: str = 'Unknown',
_total_geom_list: list[Polygon] | None = None,
_offsets: list[int] | None = None,
_coords_cache: numpy.ndarray | None = None
) -> None:
self.geometry = geometry
self.dilated_geometry = dilated_geometry
self.proxy_geometry = proxy_geometry
self.actual_geometry = actual_geometry
self.dilated_actual_geometry = dilated_actual_geometry
self.end_port = end_port
self.length = length
self.move_type = move_type
self._t_cache = {}
if not skip_bounds:
# Vectorized bounds calculation
self.bounds = shapely.bounds(geometry)
# Total bounds across all polygons in the move
self.total_bounds = numpy.array([
numpy.min(self.bounds[:, 0]),
numpy.min(self.bounds[:, 1]),
numpy.max(self.bounds[:, 2]),
numpy.max(self.bounds[:, 3])
])
self.total_bounds_box = box(*self.total_bounds)
if _total_geom_list is not None and _offsets is not None:
self._total_geom_list = _total_geom_list
self._offsets = _offsets
self._coords_cache = _coords_cache
else:
# Flatten everything for fast vectorized translate
gl = list(geometry)
o = [len(geometry)]
if dilated_geometry: gl.extend(dilated_geometry)
o.append(len(gl))
if proxy_geometry: gl.extend(proxy_geometry)
o.append(len(gl))
if actual_geometry: gl.extend(actual_geometry)
o.append(len(gl))
if dilated_actual_geometry: gl.extend(dilated_actual_geometry)
self._total_geom_list = gl
self._offsets = o
self._coords_cache = shapely.get_coordinates(gl)
if not skip_bounds:
self.bounds = shapely.bounds(geometry)
self.total_bounds = numpy.array([
numpy.min(self.bounds[:, 0]), numpy.min(self.bounds[:, 1]),
numpy.max(self.bounds[:, 2]), numpy.max(self.bounds[:, 3])
])
if dilated_geometry is not None:
self.dilated_bounds = shapely.bounds(dilated_geometry)
self.total_dilated_bounds = numpy.array([
numpy.min(self.dilated_bounds[:, 0]),
numpy.min(self.dilated_bounds[:, 1]),
numpy.max(self.dilated_bounds[:, 2]),
numpy.max(self.dilated_bounds[:, 3])
numpy.min(self.dilated_bounds[:, 0]), numpy.min(self.dilated_bounds[:, 1]),
numpy.max(self.dilated_bounds[:, 2]), numpy.max(self.dilated_bounds[:, 3])
])
self.total_dilated_bounds_box = box(*self.total_dilated_bounds)
else:
self.dilated_bounds = None
self.total_dilated_bounds = None
self.total_dilated_bounds_box = None
def translate(self, dx: float, dy: float) -> ComponentResult:
"""
@ -87,47 +102,44 @@ class ComponentResult:
if (dxr, dyr) in self._t_cache:
return self._t_cache[(dxr, dyr)]
# Vectorized translation
geoms = list(self.geometry)
num_geom = len(self.geometry)
# FASTEST TRANSLATE
new_coords = self._coords_cache + [dx, dy]
new_total_arr = shapely.set_coordinates(list(self._total_geom_list), new_coords)
new_total = new_total_arr.tolist()
offsets = [num_geom]
if self.dilated_geometry is not None:
geoms.extend(self.dilated_geometry)
offsets.append(len(geoms))
if self.proxy_geometry is not None:
geoms.extend(self.proxy_geometry)
offsets.append(len(geoms))
if self.actual_geometry is not None:
geoms.extend(self.actual_geometry)
offsets.append(len(geoms))
import shapely
coords = shapely.get_coordinates(geoms)
translated = shapely.set_coordinates(geoms, coords + [dx, dy])
new_geom = list(translated[:offsets[0]])
new_dil = list(translated[offsets[0]:offsets[1]]) if self.dilated_geometry is not None else None
new_proxy = list(translated[offsets[1]:offsets[2]]) if self.proxy_geometry is not None else None
new_actual = list(translated[offsets[2]:offsets[3]]) if self.actual_geometry is not None else None
o = self._offsets
new_geom = new_total[:o[0]]
new_dil = new_total[o[0]:o[1]] if self.dilated_geometry is not None else None
new_proxy = new_total[o[1]:o[2]] if self.proxy_geometry is not None else None
new_actual = new_total[o[2]:o[3]] if self.actual_geometry is not None else None
new_dil_actual = new_total[o[3]:] if self.dilated_actual_geometry is not None else None
new_port = Port(self.end_port.x + dx, self.end_port.y + dy, self.end_port.orientation)
res = ComponentResult(new_geom, new_port, self.length, new_dil, new_proxy, new_actual, skip_bounds=True, move_type=self.move_type)
# Optimize: reuse and translate bounds
res.bounds = self.bounds + [dx, dy, dx, dy]
res.total_bounds = self.total_bounds + [dx, dy, dx, dy]
res.total_bounds_box = box(*res.total_bounds)
# Fast bypass of __init__
res = self.__class__.__new__(self.__class__)
res.geometry = new_geom
res.dilated_geometry = new_dil
res.proxy_geometry = new_proxy
res.actual_geometry = new_actual
res.dilated_actual_geometry = new_dil_actual
res.end_port = new_port
res.length = self.length
res.move_type = self.move_type
res._t_cache = {}
res._total_geom_list = new_total
res._offsets = o
res._coords_cache = new_coords
db = [dx, dy, dx, dy]
res.bounds = self.bounds + db
res.total_bounds = self.total_bounds + db
if self.dilated_bounds is not None:
res.dilated_bounds = self.dilated_bounds + [dx, dy, dx, dy]
res.total_dilated_bounds = self.total_dilated_bounds + [dx, dy, dx, dy]
res.total_dilated_bounds_box = box(*res.total_dilated_bounds)
res.dilated_bounds = self.dilated_bounds + db
res.total_dilated_bounds = self.total_dilated_bounds + db
else:
res.dilated_bounds = None
res.total_dilated_bounds = None
res.total_dilated_bounds_box = None
self._t_cache[(dxr, dyr)] = res
return res
@ -193,7 +205,7 @@ class Straight:
dilated_geom = [Polygon(poly_points_dil)]
# For straight segments, geom IS the actual geometry
return ComponentResult(geometry=geom, end_port=end_port, length=actual_length, dilated_geometry=dilated_geom, actual_geometry=geom, move_type='Straight')
return ComponentResult(geometry=geom, end_port=end_port, length=actual_length, dilated_geometry=dilated_geom, actual_geometry=geom, dilated_actual_geometry=dilated_geom, move_type='Straight')
def _get_num_segments(radius: float, angle_deg: float, sagitta: float = 0.01) -> int:
@ -267,21 +279,10 @@ def _clip_bbox(
half_sweep = sweep / 2.0
# Define vertices in local space (center at 0,0, symmetry axis along +X)
# 1. Start Inner
# 2. Start Outer
# 3. Peak Outer Start (tangent intersection approximation)
# 4. Peak Outer End
# 5. End Outer
# 6. End Inner
# 7. Peak Inner (ensures convexity and inner clipping)
# To clip the outer corner, we use two peak vertices that follow the arc tighter.
cos_hs = numpy.cos(half_sweep)
cos_hs2 = numpy.cos(half_sweep / 2.0)
tan_hs2 = numpy.tan(half_sweep / 2.0)
# Distance to peak from center: r_out / cos(hs/2)
# At angles +/- hs/2
peak_r = r_out / cos_hs2
local_verts = [
@ -415,9 +416,11 @@ class Bend90:
)
dilated_geom = None
dilated_actual_geom = None
if dilation > 0:
dilated_actual_geom = _get_arc_polygons(cx, cy, actual_radius, width, t_start, t_end, sagitta, dilation=dilation)
if collision_type == "arc":
dilated_geom = _get_arc_polygons(cx, cy, actual_radius, width, t_start, t_end, sagitta, dilation=dilation)
dilated_geom = dilated_actual_geom
else:
dilated_geom = [p.buffer(dilation) for p in collision_polys]
@ -428,6 +431,7 @@ class Bend90:
dilated_geometry=dilated_geom,
proxy_geometry=proxy_geom,
actual_geometry=arc_polys,
dilated_actual_geometry=dilated_actual_geom,
move_type='Bend90'
)
@ -479,14 +483,10 @@ class SBend:
theta = 2 * numpy.arctan2(abs(local_dy), local_dx)
if abs(theta) < 1e-9:
# Practically straight, but offset implies we need a bend.
# If offset is also tiny, return a straight?
if abs(offset) < 1e-6:
# Degenerate case: effectively straight
return Straight.generate(start_port, numpy.sqrt(local_dx**2 + local_dy**2), width, snap_to_grid=False, dilation=dilation)
raise ValueError("SBend calculation failed: theta close to zero")
# De-generate to straight
actual_len = numpy.sqrt(local_dx**2 + local_dy**2)
return Straight.generate(start_port, actual_len, width, snap_to_grid=False, dilation=dilation)
# Avoid division by zero if theta is 0 (though unlikely due to offset check)
denom = (2 * (1 - numpy.cos(theta)))
if abs(denom) < 1e-9:
raise ValueError("SBend calculation failed: radius denominator zero")
@ -495,7 +495,8 @@ class SBend:
# Limit radius to prevent giant arcs
if actual_radius > 100000.0:
raise ValueError("SBend calculation failed: radius too large")
actual_len = numpy.sqrt(local_dx**2 + local_dy**2)
return Straight.generate(start_port, actual_len, width, snap_to_grid=False, dilation=dilation)
direction = 1 if local_dy > 0 else -1
c1_angle = rad_start + direction * numpy.pi / 2
@ -526,11 +527,14 @@ class SBend:
proxy_geom = [p1, p2]
dilated_geom = None
dilated_actual_geom = None
if dilation > 0:
if collision_type == "arc":
d1 = _get_arc_polygons(cx1, cy1, actual_radius, width, ts1, te1, sagitta, dilation=dilation)[0]
d2 = _get_arc_polygons(cx2, cy2, actual_radius, width, ts2, te2, sagitta, dilation=dilation)[0]
dilated_geom = [d1, d2]
dilated_actual_geom = [d1, d2]
if collision_type == "arc":
dilated_geom = dilated_actual_geom
else:
dilated_geom = [p.buffer(dilation) for p in collision_polys]
@ -541,5 +545,6 @@ class SBend:
dilated_geometry=dilated_geom,
proxy_geometry=proxy_geom,
actual_geometry=arc_polys,
dilated_actual_geometry=dilated_actual_geom,
move_type='SBend'
)

View file

@ -54,9 +54,13 @@ class AStarRouter:
"""
Waveguide router based on sparse A* search.
"""
__slots__ = ('cost_evaluator', 'config', 'node_limit', 'visibility_manager',
'_hard_collision_set', '_congestion_cache', '_static_safe_cache',
'_move_cache', 'total_nodes_expanded', 'last_expanded_nodes', 'metrics')
def __init__(self, cost_evaluator: CostEvaluator, node_limit: int | None = None, **kwargs) -> None:
self.cost_evaluator = cost_evaluator
self.config = RouterConfig()
self.config = RouterConfig(sbend_radii=[5.0, 10.0, 50.0, 100.0])
if node_limit is not None:
self.config.node_limit = node_limit
@ -128,8 +132,11 @@ class AStarRouter:
if bend_collision_type is not None:
self.config.bend_collision_type = bend_collision_type
self.cost_evaluator.set_target(target)
open_set: list[AStarNode] = []
snap = self.config.snap_size
inv_snap = 1.0 / snap
# (x_grid, y_grid, orientation_grid) -> min_g_cost
closed_set: dict[tuple[int, int, int], float] = {}
@ -170,7 +177,7 @@ class AStarRouter:
return self._reconstruct_path(current)
# Expansion
self._expand_moves(current, target, net_width, net_id, open_set, closed_set, snap, nodes_expanded, skip_congestion=skip_congestion)
self._expand_moves(current, target, net_width, net_id, open_set, closed_set, snap, nodes_expanded, skip_congestion=skip_congestion, inv_snap=inv_snap)
return self._reconstruct_path(best_node) if return_partial else None
@ -185,38 +192,36 @@ class AStarRouter:
snap: float = 1.0,
nodes_expanded: int = 0,
skip_congestion: bool = False,
inv_snap: float | None = None
) -> None:
cp = current.port
base_ori = round(cp.orientation, 2)
if inv_snap is None: inv_snap = 1.0 / snap
dx_t = target.x - cp.x
dy_t = target.y - cp.y
dist_sq = dx_t*dx_t + dy_t*dy_t
rad = numpy.radians(base_ori)
rad = numpy.radians(cp.orientation)
cos_v, sin_v = numpy.cos(rad), numpy.sin(rad)
# 1. DIRECT JUMP TO TARGET (Priority 1)
# 1. DIRECT JUMP TO TARGET
proj_t = dx_t * cos_v + dy_t * sin_v
perp_t = -dx_t * sin_v + dy_t * cos_v
# A. Straight Jump
if proj_t > 0 and abs(perp_t) < 1e-3 and abs(cp.orientation - target.orientation) < 0.1:
max_reach = self.cost_evaluator.collision_engine.ray_cast(cp, base_ori, proj_t + 1.0)
max_reach = self.cost_evaluator.collision_engine.ray_cast(cp, cp.orientation, proj_t + 1.0)
if max_reach >= proj_t - 0.01:
self._process_move(current, target, net_width, net_id, open_set, closed_set, snap, f'S{proj_t}', 'S', (proj_t,), skip_congestion, skip_static=True, snap_to_grid=False)
self._process_move(current, target, net_width, net_id, open_set, closed_set, snap, f'S{proj_t}', 'S', (proj_t,), skip_congestion, inv_snap=inv_snap, snap_to_grid=False)
# 2. VISIBILITY JUMPS & MAX REACH (Priority 2)
max_reach = self.cost_evaluator.collision_engine.ray_cast(cp, base_ori, self.config.max_straight_length)
# 2. VISIBILITY JUMPS & MAX REACH
max_reach = self.cost_evaluator.collision_engine.ray_cast(cp, cp.orientation, self.config.max_straight_length)
straight_lengths = set()
if max_reach > self.config.min_straight_length:
# milestone 1: exactly at max_reach (touching)
straight_lengths.add(snap_search_grid(max_reach, snap))
# milestone 2: space to turn before collision
for radius in self.config.bend_radii:
if max_reach > radius + self.config.min_straight_length:
straight_lengths.add(snap_search_grid(max_reach - radius, snap))
# milestone 3: small buffer for tight maneuvering
if max_reach > self.config.min_straight_length + 5.0:
straight_lengths.add(snap_search_grid(max_reach - 5.0, snap))
@ -226,58 +231,35 @@ class AStarRouter:
if proj > self.config.min_straight_length:
straight_lengths.add(snap_search_grid(proj, snap))
# ALWAYS include the min length for maneuvering
straight_lengths.add(self.config.min_straight_length)
# If the jump is long, add an intermediate point to allow more flexible turning
if max_reach > self.config.min_straight_length * 4:
straight_lengths.add(snap_search_grid(max_reach / 2.0, snap))
# Target alignment logic (for turning towards target) - Keep this as it's high value
if abs(base_ori % 180) < 0.1: # Horizontal
if abs(cp.orientation % 180) < 0.1: # Horizontal
target_dist = abs(target.x - cp.x)
if target_dist <= max_reach and target_dist > self.config.min_straight_length:
straight_lengths.add(snap_search_grid(target_dist, snap))
# Space for turning: target_dist - R and target_dist - 2R
sl = snap_search_grid(target_dist, snap)
if sl > 0.1: straight_lengths.add(sl)
for radius in self.config.bend_radii:
l1 = target_dist - radius
if l1 > self.config.min_straight_length:
s_l1 = snap_search_grid(l1, snap)
if s_l1 <= max_reach and s_l1 > 0.1:
straight_lengths.add(s_l1)
l2 = target_dist - 2 * radius
if l2 > self.config.min_straight_length:
s_l2 = snap_search_grid(l2, snap)
if s_l2 <= max_reach and s_l2 > 0.1:
straight_lengths.add(s_l2)
for l in [target_dist - radius, target_dist - 2*radius]:
if l > self.config.min_straight_length:
s_l = snap_search_grid(l, snap)
if s_l <= max_reach and s_l > 0.1: straight_lengths.add(s_l)
else: # Vertical
target_dist = abs(target.y - cp.y)
if target_dist <= max_reach and target_dist > self.config.min_straight_length:
straight_lengths.add(snap_search_grid(target_dist, snap))
# Space for turning: target_dist - R and target_dist - 2R
sl = snap_search_grid(target_dist, snap)
if sl > 0.1: straight_lengths.add(sl)
for radius in self.config.bend_radii:
l1 = target_dist - radius
if l1 > self.config.min_straight_length:
s_l1 = snap_search_grid(l1, snap)
if s_l1 <= max_reach and s_l1 > 0.1:
straight_lengths.add(s_l1)
l2 = target_dist - 2 * radius
if l2 > self.config.min_straight_length:
s_l2 = snap_search_grid(l2, snap)
if s_l2 <= max_reach and s_l2 > 0.1:
straight_lengths.add(s_l2)
# NO standard samples here! Only milestones.
for l in [target_dist - radius, target_dist - 2*radius]:
if l > self.config.min_straight_length:
s_l = snap_search_grid(l, snap)
if s_l <= max_reach and s_l > 0.1: straight_lengths.add(s_l)
for length in sorted(straight_lengths, reverse=True):
# Trust ray_cast: these lengths are <= max_reach
self._process_move(current, target, net_width, net_id, open_set, closed_set, snap, f'S{length}', 'S', (length,), skip_congestion, skip_static=True)
self._process_move(current, target, net_width, net_id, open_set, closed_set, snap, f'S{length}', 'S', (length,), skip_congestion, inv_snap=inv_snap)
# 3. BENDS & SBENDS (Priority 3)
# 3. BENDS & SBENDS
angle_to_target = numpy.degrees(numpy.arctan2(target.y - cp.y, target.x - cp.x))
allow_backwards = (dist_sq < 150*150)
@ -289,40 +271,30 @@ class AStarRouter:
new_diff = (angle_to_target - new_ori + 180) % 360 - 180
if abs(new_diff) > 135:
continue
self._process_move(current, target, net_width, net_id, open_set, closed_set, snap, f'B{radius}{direction}', 'B', (radius, direction), skip_congestion)
self._process_move(current, target, net_width, net_id, open_set, closed_set, snap, f'B{radius}{direction}', 'B', (radius, direction), skip_congestion, inv_snap=inv_snap)
# 4. SBENDS
max_sbend_r = max(self.config.sbend_radii) if self.config.sbend_radii else 0
if max_sbend_r > 0:
user_offsets = self.config.sbend_offsets
offsets: set[float] = set(user_offsets) if user_offsets is not None else set()
dx_local = (target.x - cp.x) * cos_v + (target.y - cp.y) * sin_v
dy_local = -(target.x - cp.x) * sin_v + (target.y - cp.y) * cos_v
# Always try aligning with target if it's forward and within reach
if dx_local > 0 and abs(dy_local) < 2 * max_sbend_r:
# Check if we have enough distance for the SBend
# Min distance D = sqrt(4RO - O^2). Smallest R is O/2.
min_d = numpy.sqrt(max(0, 4 * (abs(dy_local)/2.0) * abs(dy_local) - dy_local**2))
if dx_local >= min_d:
offsets.add(dy_local)
if dx_local >= min_d: offsets.add(dy_local)
# If no offsets provided by user (None), the router "chooses" offsets
# by trying grid-aligned steps up to the reach of the largest radius.
if user_offsets is None:
# Try a selection of grid-aligned offsets.
# Fibonacci-ish steps are useful to cover different scales efficiently.
for sign in [-1, 1]:
for i in [1, 2, 3, 5, 8, 13, 21, 34, 55, 89]:
for i in [0.1, 0.2, 0.5, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144]:
o = sign * i * snap
if abs(o) < 2 * max_sbend_r:
offsets.add(o)
if abs(o) < 2 * max_sbend_r: offsets.add(o)
for offset in sorted(offsets):
for radius in self.config.sbend_radii:
if abs(offset) >= 2 * radius: continue
self._process_move(current, target, net_width, net_id, open_set, closed_set, snap, f'SB{offset}R{radius}', 'SB', (offset, radius), skip_congestion)
self._process_move(current, target, net_width, net_id, open_set, closed_set, snap, f'SB{offset}R{radius}', 'SB', (offset, radius), skip_congestion, inv_snap=inv_snap)
def _process_move(
self,
@ -337,44 +309,42 @@ class AStarRouter:
move_class: Literal['S', 'B', 'SB'],
params: tuple,
skip_congestion: bool,
skip_static: bool = False,
inv_snap: float | None = None,
snap_to_grid: bool = True,
) -> None:
cp = parent.port
base_ori = round(cp.orientation, 2)
state_key = (int(round(cp.x / snap)), int(round(cp.y / snap)), int(round(base_ori / 1.0)))
if inv_snap is None: inv_snap = 1.0 / snap
base_ori = float(int(cp.orientation + 0.5))
gx = int(round(cp.x / snap))
gy = int(round(cp.y / snap))
go = int(round(cp.orientation / 1.0))
state_key = (gx, gy, go)
abs_key = (state_key, move_class, params, net_width, self.config.bend_collision_type, snap_to_grid)
if abs_key in self._move_cache:
res = self._move_cache[abs_key]
if move_class == 'B': move_radius = params[0]
elif move_class == 'SB': move_radius = params[1]
else: move_radius = None
self._add_node(parent, res, target, net_width, net_id, open_set, closed_set, move_type, move_radius=move_radius, snap=snap, skip_congestion=skip_congestion)
move_radius = params[0] if move_class == 'B' else (params[1] if move_class == 'SB' else None)
self._add_node(parent, res, target, net_width, net_id, open_set, closed_set, move_type, move_radius=move_radius, snap=snap, skip_congestion=skip_congestion, inv_snap=inv_snap)
return
rel_key = (base_ori, move_class, params, net_width, self.config.bend_collision_type, self._self_dilation, snap_to_grid)
cache_key = (state_key[0], state_key[1], base_ori, move_type, net_width, snap_to_grid)
cache_key = (gx, gy, go, move_type, net_width)
if cache_key in self._hard_collision_set:
return
if rel_key in self._move_cache:
res_rel = self._move_cache[rel_key]
ex = res_rel.end_port.x + cp.x
ey = res_rel.end_port.y + cp.y
end_state = (int(round(ex / snap)), int(round(ey / snap)), int(round(res_rel.end_port.orientation / 1.0)))
if end_state in closed_set and closed_set[end_state] <= parent.g_cost + 1e-6:
return
res = res_rel.translate(cp.x, cp.y)
else:
try:
p0 = Port(0, 0, base_ori)
if move_class == 'S':
res_rel = Straight.generate(Port(0, 0, base_ori), params[0], net_width, dilation=self._self_dilation, snap_to_grid=snap_to_grid, snap_size=self.config.snap_size)
res_rel = Straight.generate(p0, params[0], net_width, dilation=self._self_dilation, snap_to_grid=snap_to_grid, snap_size=snap)
elif move_class == 'B':
res_rel = Bend90.generate(Port(0, 0, base_ori), params[0], net_width, params[1], collision_type=self.config.bend_collision_type, clip_margin=self.config.bend_clip_margin, dilation=self._self_dilation, snap_to_grid=snap_to_grid, snap_size=self.config.snap_size)
res_rel = Bend90.generate(p0, params[0], net_width, params[1], collision_type=self.config.bend_collision_type, clip_margin=self.config.bend_clip_margin, dilation=self._self_dilation, snap_to_grid=snap_to_grid, snap_size=snap)
elif move_class == 'SB':
res_rel = SBend.generate(Port(0, 0, base_ori), params[0], params[1], net_width, collision_type=self.config.bend_collision_type, clip_margin=self.config.bend_clip_margin, dilation=self._self_dilation, snap_to_grid=snap_to_grid, snap_size=self.config.snap_size)
res_rel = SBend.generate(p0, params[0], params[1], net_width, collision_type=self.config.bend_collision_type, clip_margin=self.config.bend_clip_margin, dilation=self._self_dilation, snap_to_grid=snap_to_grid, snap_size=snap)
else:
return
self._move_cache[rel_key] = res_rel
@ -383,11 +353,8 @@ class AStarRouter:
return
self._move_cache[abs_key] = res
if move_class == 'B': move_radius = params[0]
elif move_class == 'SB': move_radius = params[1]
else: move_radius = None
self._add_node(parent, res, target, net_width, net_id, open_set, closed_set, move_type, move_radius=move_radius, snap=snap, skip_congestion=skip_congestion)
move_radius = params[0] if move_class == 'B' else (params[1] if move_class == 'SB' else None)
self._add_node(parent, res, target, net_width, net_id, open_set, closed_set, move_type, move_radius=move_radius, snap=snap, skip_congestion=skip_congestion, inv_snap=inv_snap)
def _add_node(
self,
@ -402,6 +369,7 @@ class AStarRouter:
move_radius: float | None = None,
snap: float = 1.0,
skip_congestion: bool = False,
inv_snap: float | None = None,
) -> None:
self.metrics['moves_generated'] += 1
end_p = result.end_port
@ -412,7 +380,8 @@ class AStarRouter:
return
parent_p = parent.port
cache_key = (int(round(parent_p.x / snap)), int(round(parent_p.y / snap)), int(round(parent_p.orientation / 1.0)), move_type, net_width)
pgx, pgy, pgo = int(round(parent_p.x / snap)), int(round(parent_p.y / snap)), int(round(parent_p.orientation / 1.0))
cache_key = (pgx, pgy, pgo, move_type, net_width)
if cache_key in self._hard_collision_set:
self.metrics['pruned_hard_collision'] += 1
@ -420,27 +389,23 @@ class AStarRouter:
is_static_safe = (cache_key in self._static_safe_cache)
if not is_static_safe:
collision_engine = self.cost_evaluator.collision_engine
# Fast check for straights
ce = self.cost_evaluator.collision_engine
if 'S' in move_type and 'SB' not in move_type:
if collision_engine.check_move_straight_static(parent_p, result.length):
if ce.check_move_straight_static(parent_p, result.length):
self._hard_collision_set.add(cache_key)
self.metrics['pruned_hard_collision'] += 1
return
is_static_safe = True
if not is_static_safe:
if collision_engine.check_move_static(result, start_port=parent_p, end_port=end_p):
if ce.check_move_static(result, start_port=parent_p, end_port=end_p):
self._hard_collision_set.add(cache_key)
self.metrics['pruned_hard_collision'] += 1
return
else:
self._static_safe_cache.add(cache_key)
else: self._static_safe_cache.add(cache_key)
total_overlaps = 0
if not skip_congestion:
if cache_key in self._congestion_cache:
total_overlaps = self._congestion_cache[cache_key]
if cache_key in self._congestion_cache: total_overlaps = self._congestion_cache[cache_key]
else:
total_overlaps = self.cost_evaluator.collision_engine.check_move_congestion(result, net_id)
self._congestion_cache[cache_key] = total_overlaps
@ -448,10 +413,7 @@ class AStarRouter:
penalty = 0.0
if 'SB' in move_type: penalty = self.config.sbend_penalty
elif 'B' in move_type: penalty = self.config.bend_penalty
# Scale penalty by radius (larger radius = smoother = lower penalty)
if move_radius is not None and move_radius > 1e-6:
penalty *= (10.0 / move_radius)**0.5
if move_radius is not None and move_radius > 1e-6: penalty *= (10.0 / move_radius)**0.5
move_cost = self.cost_evaluator.evaluate_move(
result.geometry, result.end_port, net_width, net_id,
@ -471,8 +433,7 @@ class AStarRouter:
return
h_cost = self.cost_evaluator.h_manhattan(result.end_port, target)
new_node = AStarNode(result.end_port, g_cost, h_cost, parent, result)
heapq.heappush(open_set, new_node)
heapq.heappush(open_set, AStarNode(result.end_port, g_cost, h_cost, parent, result))
self.metrics['moves_added'] += 1
def _reconstruct_path(self, end_node: AStarNode) -> list[ComponentResult]:

View file

@ -17,7 +17,8 @@ class CostEvaluator:
"""
Calculates total path and proximity costs.
"""
__slots__ = ('collision_engine', 'danger_map', 'config', 'unit_length_cost', 'greedy_h_weight', 'congestion_penalty')
__slots__ = ('collision_engine', 'danger_map', 'config', 'unit_length_cost', 'greedy_h_weight', 'congestion_penalty',
'_target_x', '_target_y', '_target_ori', '_target_cos', '_target_sin')
collision_engine: CollisionEngine
""" The engine for intersection checks """
@ -73,6 +74,21 @@ class CostEvaluator:
self.greedy_h_weight = self.config.greedy_h_weight
self.congestion_penalty = self.config.congestion_penalty
# Target cache
self._target_x = 0.0
self._target_y = 0.0
self._target_ori = 0.0
self._target_cos = 1.0
self._target_sin = 0.0
def set_target(self, target: Port) -> None:
""" Pre-calculate target-dependent values for faster heuristic. """
self._target_x = target.x
self._target_y = target.y
self._target_ori = target.orientation
rad = np.radians(target.orientation)
self._target_cos = np.cos(rad)
self._target_sin = np.sin(rad)
def g_proximity(self, x: float, y: float) -> float:
"""
@ -90,16 +106,26 @@ class CostEvaluator:
"""
Heuristic: weighted Manhattan distance + mandatory turn penalties.
"""
dx = abs(current.x - target.x)
dy = abs(current.y - target.y)
tx = target.x
ty = target.y
t_ori = target.orientation
t_cos = self._target_cos
t_sin = self._target_sin
if abs(tx - self._target_x) > 1e-6 or abs(ty - self._target_y) > 1e-6:
rad = np.radians(t_ori)
t_cos = np.cos(rad)
t_sin = np.sin(rad)
dx = abs(current.x - tx)
dy = abs(current.y - ty)
dist = dx + dy
bp = self.config.bend_penalty
penalty = 0.0
# 1. Orientation Difference
# diff in degrees, normalized to [0, 360)
diff = abs(current.orientation - target.orientation) % 360
diff = abs(current.orientation - t_ori) % 360
if diff > 0.1:
if abs(diff - 180) < 0.1:
penalty += 2 * bp
@ -107,36 +133,24 @@ class CostEvaluator:
penalty += 1 * bp
# 2. Side Check (Entry half-plane)
target_rad = np.radians(target.orientation)
# Vector from current to target
v_dx = target.x - current.x
v_dy = target.y - current.y
# Projection of current->target onto target orientation vector
# Should be positive if we are on the "entry" side of the port
side_proj = v_dx * np.cos(target_rad) + v_dy * np.sin(target_rad)
# Perpendicular distance to the target's travel line
perp_dist = abs(v_dx * np.sin(target_rad) - v_dy * np.cos(target_rad))
v_dx = tx - current.x
v_dy = ty - current.y
side_proj = v_dx * t_cos + v_dy * t_sin
perp_dist = abs(v_dx * t_sin - v_dy * t_cos)
min_radius = self.config.min_bend_radius
if side_proj < -0.1 or (side_proj < min_radius and perp_dist > 0.1):
# Wrong side or too close to turn into port
penalty += 2 * bp
# 3. Traveling Away
curr_rad = np.radians(current.orientation)
# Projection of current->target onto current orientation vector
# Should be positive if we are moving towards the target's general location
move_proj = v_dx * np.cos(curr_rad) + v_dy * np.sin(curr_rad)
if move_proj < -0.1:
# Traveling away from the port
penalty += 2 * bp
# 4. Jog Alignment
# If orientations match, check if we are on the same line (jog alignment)
if diff < 0.1:
if perp_dist > 0.1:
# Same orientation but different jog coordinate needs 2 bends (S-turn)
penalty += 2 * bp
return self.greedy_h_weight * (dist + penalty)
@ -183,7 +197,6 @@ class CostEvaluator:
total_cost = length * self.unit_length_cost + penalty
# 2. Collision Check
# FAST PATH: skip_static and skip_congestion are often True when called from optimized AStar
if not skip_static or not skip_congestion:
collision_engine = self.collision_engine
for i, poly in enumerate(geometry):

View file

@ -186,20 +186,15 @@ class PathFinder:
abs(last_p.y - target.y) < 1e-6 and
abs(last_p.orientation - target.orientation) < 0.1)
# 3. Add to index ONLY if it reached the target
if reached:
all_geoms = []
all_dilated = []
# 3. Add to index ONLY if it reached the target
# (Prevents failed paths from blocking others forever)
if reached:
for res in path:
# Use the search geometry (could be proxy or arc) for indexing
# to ensure consistency with what other nets use for their search.
all_geoms.extend(res.geometry)
if res.dilated_geometry:
all_dilated.extend(res.dilated_geometry)
else:
# Fallback dilation
dilation = self.cost_evaluator.collision_engine.clearance / 2.0
all_dilated.extend([p.buffer(dilation) for p in res.geometry])
@ -207,14 +202,7 @@ class PathFinder:
# Check if this new path has any congestion
collision_count = 0
# Always check for congestion to decide if more iterations are needed
if reached:
# For FINAL verification of this net's success, we should ideally
# use high-fidelity geometry if available, but since Negotiated
# Congestion relies on what is IN the index, we check the indexed geoms.
# BUT, to fix the "false failed" issue where clipped_bbox overlaps
# even if arcs don't, we should verify with actual_geometry.
verif_geoms = []
verif_dilated = []
for res in path:
@ -222,31 +210,24 @@ class PathFinder:
g = res.actual_geometry if is_proxy else res.geometry
verif_geoms.extend(g)
# If we are using actual_geometry as high-fidelity replacement for a proxy,
# we MUST ensure we use the high-fidelity dilation too.
if is_proxy:
# ComponentResult stores dilated_geometry for the 'geometry' (proxy).
# It does NOT store it for 'actual_geometry' unless we re-buffer.
if res.dilated_actual_geometry:
verif_dilated.extend(res.dilated_actual_geometry)
else:
dilation = self.cost_evaluator.collision_engine.clearance / 2.0
verif_dilated.extend([p.buffer(dilation) for p in g])
else:
# Use existing dilated geometry if it matches the current geom
if res.dilated_geometry:
verif_dilated.extend(res.dilated_geometry)
else:
dilation = self.cost_evaluator.collision_engine.clearance / 2.0
verif_dilated.extend([p.buffer(dilation) for p in g])
for i, poly in enumerate(verif_geoms):
# IMPORTANT: We check against OTHER nets.
# If we just check self.check_congestion(poly, net_id),
# it checks against the dynamic index which ALREADY contains this net's
# path (added in step 3 above).
# To correctly count REAL overlaps with others:
self.cost_evaluator.collision_engine._ensure_dynamic_tree()
if self.cost_evaluator.collision_engine.dynamic_tree:
hits = self.cost_evaluator.collision_engine.dynamic_tree.query(verif_dilated[i], predicate='intersects')
for hit_idx in hits:
# Vectorized query for all polygons in the path
res_indices, tree_indices = self.cost_evaluator.collision_engine.dynamic_tree.query(verif_dilated, predicate='intersects')
for hit_idx in tree_indices:
obj_id = self.cost_evaluator.collision_engine.dynamic_obj_ids[hit_idx]
other_net_id, _ = self.cost_evaluator.collision_engine.dynamic_geometries[obj_id]
if other_net_id != net_id:
@ -264,12 +245,10 @@ class PathFinder:
iteration_callback(iteration, results)
if not any_congestion:
# Check if all reached target
all_reached = all(r.reached_target for r in results.values())
if all_reached:
break
# 4. Inflate congestion penalty
self.cost_evaluator.congestion_penalty *= self.congestion_multiplier
return self._finalize_results(results, netlist)
@ -281,13 +260,6 @@ class PathFinder:
) -> dict[str, RoutingResult]:
"""
Final check: re-verify all nets against the final static paths.
Args:
results: Results from the routing loop.
netlist: The original netlist.
Returns:
Refined results with final collision counts.
"""
logger.debug(f'Finalizing results for nets: {list(results.keys())}')
final_results = {}
@ -298,7 +270,6 @@ class PathFinder:
continue
collision_count = 0
# Use high-fidelity verification against OTHER nets
verif_geoms = []
verif_dilated = []
for comp in res.path:
@ -306,6 +277,9 @@ class PathFinder:
g = comp.actual_geometry if is_proxy else comp.geometry
verif_geoms.extend(g)
if is_proxy:
if comp.dilated_actual_geometry:
verif_dilated.extend(comp.dilated_actual_geometry)
else:
dilation = self.cost_evaluator.collision_engine.clearance / 2.0
verif_dilated.extend([p.buffer(dilation) for p in g])
else:
@ -317,16 +291,14 @@ class PathFinder:
self.cost_evaluator.collision_engine._ensure_dynamic_tree()
if self.cost_evaluator.collision_engine.dynamic_tree:
for i, poly in enumerate(verif_geoms):
hits = self.cost_evaluator.collision_engine.dynamic_tree.query(verif_dilated[i], predicate='intersects')
for hit_idx in hits:
# Vectorized query
res_indices, tree_indices = self.cost_evaluator.collision_engine.dynamic_tree.query(verif_dilated, predicate='intersects')
for hit_idx in tree_indices:
obj_id = self.cost_evaluator.collision_engine.dynamic_obj_ids[hit_idx]
other_net_id, _ = self.cost_evaluator.collision_engine.dynamic_geometries[obj_id]
if other_net_id != net_id:
collision_count += 1
reached = False
if res.path:
target_p = netlist[net_id][1]
last_p = res.path[-1].end_port
reached = (abs(last_p.x - target_p.x) < 1e-6 and